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CHANGE DETECTION IN REMOTE SENSING IMAGES USING ...

_____ * Corresponding author CHANGE DETECTION IN REMOTE SENSING IMAGES USING CONDITIONAL ADVERSARIAL NETWORKS M. A. Lebedev 1, *, Yu. V. Vizilter 1, O. V. Vygolov 1, V. A. Knyaz 1, A. Yu. Rubis 1 1 State Res. Institute of Aviation Systems (GosNIIAS) (MLebedev, viz, , Commission II, ICWG II/III KEY WORDS: CHANGE DETECTION , Database, Deep Convolutional Neural Networks, Generative Adversarial Networks ABSTRACT: We present a method for CHANGE DETECTION in IMAGES USING Conditional Adversarial Network approach. The original network architecture based on pix2pix is proposed and evaluated for difference map creation.)

4.1 Experiments on the synthetic image dataset without object shifts At the first experiment group, we tested performance of our CNN architecture on generated dataset of 12000 triples synthetic images with the dimensions of each image is 256x256 pixels. The first and second images are an RGB image pair (A and B) with a

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ACCURACY EVALUATION OF A MOBILE MAPPING SYSTEM …

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with advanced statistical methods. So far, the metric potentialities of this emerging mapping technology have been studied in few papers, where generally the assumption that errors follow a normal distribution is made.

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